[u/mrichter/AliRoot.git] / MUON / AliMUONRecoParam.h

#ifndef AliMUONRecoParam_H
#define AliMUONRecoParam_H
/* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
* See cxx source for full Copyright notice                               */

// $Id$

/// \ingroup rec
/// \class AliMUONRecoParam
/// \brief Class with MUON reconstruction parameters
///
//  Author: Philippe Pillot

#include "AliDetectorRecoParam.h"
#include "TString.h"

class AliMUONRecoParam : public AliDetectorRecoParam
{
 public: 
  AliMUONRecoParam();
  virtual ~AliMUONRecoParam();
  
  static AliMUONRecoParam *GetLowFluxParam();
  static AliMUONRecoParam *GetHighFluxParam();
  static AliMUONRecoParam *GetCosmicParam();
  
  /// set the calibration mode (see GetCalibrationMode() for possible modes)
  void SetCalibrationMode(Option_t* mode) { fCalibrationMode = mode; fCalibrationMode.ToUpper();}

  Option_t* GetCalibrationMode() const;
      
  /// set the clustering (pre-clustering) mode
  void      SetClusteringMode(Option_t* mode) {fClusteringMode = mode; fClusteringMode.ToUpper();}
  /// get the clustering (pre-clustering) mode
  Option_t* GetClusteringMode() const {return fClusteringMode.Data();}
  
  /// set the tracking mode
  void      SetTrackingMode(Option_t* mode) {fTrackingMode = mode; fTrackingMode.ToUpper();}
  /// get the tracking mode
  Option_t* GetTrackingMode() const {return fTrackingMode.Data();}
  
  /// switch on/off the combined cluster/track reconstruction
  void      CombineClusterTrackReco(Bool_t flag) {fCombinedClusterTrackReco = flag;}
  /// return kTRUE/kFALSE if the combined cluster/track reconstruction is on/off
  Bool_t    CombineClusterTrackReco() const {return fCombinedClusterTrackReco;}
  
  /// save all cluster info (including pads) in ESD, for the given percentage of events
  void      SaveFullClusterInESD(Bool_t flag, Double_t percentOfEvent = 100.) {fSaveFullClusterInESD = flag;
                                 fPercentOfFullClusterInESD = (fSaveFullClusterInESD) ? percentOfEvent : 0.;}
  /// return kTRUE/kFALSE depending on whether we save all cluster info in ESD or not
  Bool_t    SaveFullClusterInESD() const {return fSaveFullClusterInESD;}
  /// return the percentage of events for which all cluster info are stored in ESD
  Double_t  GetPercentOfFullClusterInESD() const {return fPercentOfFullClusterInESD;}
  
  /// set the most probable value (GeV/c) of momentum in bending plane
  /// needed to get some "reasonable" corrections for MCS and E loss even if B = 0
  void     SetMostProbBendingMomentum(Double_t val) {fMostProbBendingMomentum = val;}
  /// return the most probable value (GeV/c) of momentum in bending plane
  Double_t GetMostProbBendingMomentum() const {return fMostProbBendingMomentum;}
  
  /// set the minimum value (GeV/c) of momentum in bending plane
  void     SetMinBendingMomentum(Double_t val) {fMinBendingMomentum = val;}
  /// return the minimum value (GeV/c) of momentum in bending plane
  Double_t GetMinBendingMomentum() const {return fMinBendingMomentum;}
  /// set the maximum value (GeV/c) of momentum in bending plane
  void     SetMaxBendingMomentum(Double_t val) {fMaxBendingMomentum = val;}
  /// return the maximum value (GeV/c) of momentum in bending plane
  Double_t GetMaxBendingMomentum() const {return fMaxBendingMomentum;}
  /// set the maximum value of the non bending slope
  void     SetMaxNonBendingSlope(Double_t val) {fMaxNonBendingSlope = val;}
  /// return the maximum value of the non bending slope
  Double_t GetMaxNonBendingSlope() const {return fMaxNonBendingSlope;}
  /// set the maximum value of the bending slope
  void     SetMaxBendingSlope(Double_t val) {fMaxBendingSlope = val;}
  /// return the maximum value of the bending slope
  Double_t GetMaxBendingSlope() const {return fMaxBendingSlope;}
  
  /// set the vertex dispersion (cm) in non bending plane (used for original tracking only)
  void     SetNonBendingVertexDispersion(Double_t val) {fNonBendingVertexDispersion = val;} 
  /// return the vertex dispersion (cm) in non bending plane (used for original tracking only)
  Double_t GetNonBendingVertexDispersion() const {return fNonBendingVertexDispersion;}
  /// set the vertex dispersion (cm) in bending plane (used for original tracking only)
  void     SetBendingVertexDispersion(Double_t val) {fBendingVertexDispersion = val;} 
  /// return the vertex dispersion (cm) in bending plane (used for original tracking only)
  Double_t GetBendingVertexDispersion() const {return fBendingVertexDispersion;}
  
  /// set the maximum distance to the track to search for compatible cluster(s) in non bending direction
  void     SetMaxNonBendingDistanceToTrack(Double_t val) {fMaxNonBendingDistanceToTrack = val;} 
  /// return the maximum distance to the track to search for compatible cluster(s) in non bending direction
  Double_t GetMaxNonBendingDistanceToTrack() const {return fMaxNonBendingDistanceToTrack;}
  /// set the maximum distance to the track to search for compatible cluster(s) in bending direction
  void     SetMaxBendingDistanceToTrack(Double_t val) {fMaxBendingDistanceToTrack = val;} 
  /// return the maximum distance to the track to search for compatible cluster(s) in bending direction
  Double_t GetMaxBendingDistanceToTrack() const {return fMaxBendingDistanceToTrack;}
  
  /// set the cut in sigma to apply on cluster (local chi2) and track (global chi2) during tracking
  void     SetSigmaCutForTracking(Double_t val) {fSigmaCutForTracking = val;} 
  /// return the cut in sigma to apply on cluster (local chi2) and track (global chi2) during tracking
  Double_t GetSigmaCutForTracking() const {return fSigmaCutForTracking;}
  
  /// switch on/off the track improvement and keep the default cut in sigma to apply on cluster (local chi2)
  void     ImproveTracks(Bool_t flag) {fImproveTracks = flag;} 
  /// switch on/off the track improvement and set the cut in sigma to apply on cluster (local chi2)
  void     ImproveTracks(Bool_t flag, Double_t sigmaCut) {fImproveTracks = flag; fSigmaCutForImprovement = sigmaCut;} 
  /// return kTRUE/kFALSE if the track improvement is switch on/off
  Bool_t   ImproveTracks() const {return fImproveTracks;}
  /// return the cut in sigma to apply on cluster (local chi2) during track improvement
  Double_t GetSigmaCutForImprovement() const {return fSigmaCutForImprovement;}

  /// set the cut in sigma to apply on track during trigger hit pattern search
  void     SetSigmaCutForTrigger(Double_t val) {fSigmaCutForTrigger = val;} 
  /// return the cut in sigma to apply on track during trigger hit pattern search
  Double_t GetSigmaCutForTrigger() const {return fSigmaCutForTrigger;}
  /// set the cut in strips to apply on trigger track during trigger chamber efficiency
  void     SetStripCutForTrigger(Double_t val) {fStripCutForTrigger = val;} 
  /// return the cut in strips to apply on trigger track during trigger chamber efficiency
  Double_t GetStripCutForTrigger() const {return fStripCutForTrigger;}
  /// set the maximum search area in strips to apply on trigger track during trigger chamber efficiency
  void     SetMaxStripAreaForTrigger(Double_t val) {fMaxStripAreaForTrigger = val;} 
  /// return the maximum search area in strips to apply on trigger track during trigger chamber efficiency
  Double_t GetMaxStripAreaForTrigger() const {return fMaxStripAreaForTrigger;}
  
  /// set the maximum normalized chi2 of tracking/trigger track matching
  void     SetMaxNormChi2MatchTrigger(Double_t val) {fMaxNormChi2MatchTrigger = val;} 
  /// return the maximum normalized chi2 of tracking/trigger track matching
  Double_t GetMaxNormChi2MatchTrigger() const {return fMaxNormChi2MatchTrigger;}
  
  /// switch on/off the tracking of all the possible candidates (track only the best one if switched off)
  void     TrackAllTracks(Bool_t flag) {fTrackAllTracks = flag;} 
  /// return kTRUE/kFALSE if the tracking of all the possible candidates is switched on/off
  Bool_t   TrackAllTracks() const {return fTrackAllTracks;}
  
  /// switch on/off the recovering of tracks being lost during reconstruction
  void     RecoverTracks(Bool_t flag) {fRecoverTracks = flag;} 
  /// return kTRUE/kFALSE if the recovering of tracks being lost during reconstruction is switched on/off
  Bool_t   RecoverTracks() const {return fRecoverTracks;}
  
  /// switch on/off the fast building of track candidates (assuming linear propagation between stations 4 and 5)
  void     MakeTrackCandidatesFast(Bool_t flag) {fMakeTrackCandidatesFast = flag;} 
  /// return kTRUE/kFALSE if the fast building of track candidates is switched on/off
  Bool_t   MakeTrackCandidatesFast() const {return fMakeTrackCandidatesFast;}
  
  /// switch on/off the building of track candidates starting from 1 cluster in each of the stations 4 and 5
  void     MakeMoreTrackCandidates(Bool_t flag) {fMakeMoreTrackCandidates = flag;} 
  /// return kTRUE/kFALSE if the building of extra track candidates is switched on/off
  Bool_t   MakeMoreTrackCandidates() const {return fMakeMoreTrackCandidates;}
  
  /// switch on/off the completion of reconstructed track
  void     ComplementTracks(Bool_t flag) {fComplementTracks = flag;} 
  /// return kTRUE/kFALSE if completion of the reconstructed track is switched on/off
  Bool_t   ComplementTracks() const {return fComplementTracks;}
  
  /// switch on/off the use of the smoother
  void     UseSmoother(Bool_t flag) {fUseSmoother = flag;} 
  /// return kTRUE/kFALSE if the use of the smoother is switched on/off
  Bool_t   UseSmoother() const {return fUseSmoother;}
  
  /// switch on/off a chamber in the reconstruction
  void     UseChamber(Int_t iCh, Bool_t flag) {if (iCh >= 0 && iCh < 10) fUseChamber[iCh] = flag;}
  /// return kTRUE/kFALSE whether the chamber must be used or not
  Bool_t   UseChamber(Int_t iCh) const {return (iCh >= 0 && iCh < 10) ? fUseChamber[iCh] : kFALSE;}
  
  /// request or not at least one cluster in the station to validate the track
  void     RequestStation(Int_t iSt, Bool_t flag) {if (iSt >= 0 && iSt < 5) fRequestStation[iSt] = flag;}
  /// return kTRUE/kFALSE whether at least one cluster is requested in the station to validate the track
  Bool_t   RequestStation(Int_t iSt) const {return (iSt >= 0 && iSt < 5) ? fRequestStation[iSt] : kFALSE;}
  
  /// set the bypassSt45 value
  void BypassSt45(Bool_t st4, Bool_t st5);
	
  /// return kTRUE if we should replace clusters in St 4 and 5 by generated clusters from trigger tracks
  Bool_t BypassSt45() const { return fBypassSt45==45; }
  
	/// return kTRUE if we should replace clusters in St 4 by generated clusters from trigger tracks
  Bool_t BypassSt4() const { return BypassSt45() || fBypassSt45==4 ; }

	/// return kTRUE if we should replace clusters in St 5 by generated clusters from trigger tracks
  Bool_t BypassSt5() const { return BypassSt45() || fBypassSt45==5 ; }
  
	/// Set Low and High threshold for St12 HV
  void SetHVSt12Limits(float low, float high) { fHVSt12Limits[0]=low; fHVSt12Limits[1]=high; }
	/// Retrieve low limit for St12's HV
	Float_t HVSt12LowLimit() const { return fHVSt12Limits[0]; }
	/// Retrieve high limit for St12's HV
	Float_t HVSt12HighLimit() const { return fHVSt12Limits[1]; }
	
  /// Set Low and High threshold for St345 HV
  void SetHVSt345Limits(float low, float high) { fHVSt345Limits[0]=low; fHVSt345Limits[1]=high; } 
	/// Retrieve low limit for St345's HV
	Float_t HVSt345LowLimit() const { return fHVSt345Limits[0]; }
	/// Retrieve high limit for St345's HV
	Float_t HVSt345HighLimit() const { return fHVSt345Limits[1]; }
	
  /// Set Low and High threshold for pedestal mean
  void SetPedMeanLimits(float low, float high) { fPedMeanLimits[0]=low; fPedMeanLimits[1]=high; }
	/// Retrieve low limit of ped mean
	Float_t PedMeanLowLimit() const { return fPedMeanLimits[0]; }
	/// Retrieve high limit of ped mean
	Float_t PedMeanHighLimit() const { return fPedMeanLimits[1]; }
	
  /// Set Low and High threshold for pedestal sigma 
  void SetPedSigmaLimits(float low, float high) { fPedSigmaLimits[0]=low; fPedSigmaLimits[1]=high; }
	/// Retrieve low limit of ped sigma
	Float_t PedSigmaLowLimit() const { return fPedSigmaLimits[0]; }
	/// Retrieve high limit of ped sigma
	Float_t PedSigmaHighLimit() const { return fPedSigmaLimits[1]; }
  
	/// Set Low and High threshold for gain a0 term
	void SetGainA1Limits(float low, float high) { fGainA1Limits[0]=low; fGainA1Limits[1]=high; }
	/// Retrieve low limit of a1 (linear term) gain parameter
	Float_t GainA1LowLimit() const { return fGainA1Limits[0]; }
	/// Retrieve high limit of a1 (linear term) gain parameter
	Float_t GainA1HighLimit() const { return fGainA1Limits[1]; }
	
	/// Set Low and High threshold for gain a1 term
	void SetGainA2Limits(float low, float high) { fGainA2Limits[0]=low; fGainA2Limits[1]=high; }
	/// Retrieve low limit of a2 (quadratic term) gain parameter
	Float_t GainA2LowLimit() const { return fGainA2Limits[0]; }
	/// Retrieve high limit of a2 (quadratic term) gain parameter
	Float_t GainA2HighLimit() const { return fGainA2Limits[1]; }
	
	/// Set Low and High threshold for gain threshold term
	void SetGainThresLimits(float low, float high) { fGainThresLimits[0]=low; fGainThresLimits[1]=high; }
	/// Retrieve low limit on threshold gain parameter
	Float_t GainThresLowLimit() const { return fGainThresLimits[0]; }
	/// Retrieve high limit on threshold gain parameter
	Float_t GainThresHighLimit() const { return fGainThresLimits[1]; }
	
	/// Set the goodness mask (see AliMUONPadStatusMapMaker)
	void SetPadGoodnessMask(UInt_t mask) { fPadGoodnessMask=mask; }
	/// Get the goodness mask
	UInt_t PadGoodnessMask() const { return fPadGoodnessMask; }
	
  virtual void Print(Option_t *option = "") const;
  
  /// Number of sigma cut we must apply when cutting on adc-ped
  Double_t ChargeSigmaCut() const { return fChargeSigmaCut; }

  /// Number of sigma cut we must apply when cutting on adc-ped
  void ChargeSigmaCut(Double_t value) { fChargeSigmaCut=value; }

private:
	void SetDefaultLimits();
	
 private:
  
  /// clustering mode:  NOCLUSTERING, PRECLUSTER, PRECLUSTERV2, PRECLUSTERV3, COG, <pre>
  ///                   SIMPLEFIT, SIMPLEFITV3, MLEM:DRAW, MLEM, MLEMV2, MLEMV3   </pre>
  TString fClusteringMode; ///< \brief name of the clustering (+ pre-clustering) mode
  
  /// tracking mode: ORIGINAL, KALMAN
  TString fTrackingMode; ///< \brief name of the tracking mode
  
  Double32_t fMostProbBendingMomentum; ///< most probable value (GeV/c) of muon momentum in bending plane (used when B = 0)
  
  Double32_t fMinBendingMomentum; ///< minimum value (GeV/c) of momentum in bending plane
  Double32_t fMaxBendingMomentum; ///< maximum value (GeV/c) of momentum in bending plane
  Double32_t fMaxNonBendingSlope; ///< maximum value of the non bending slope
  Double32_t fMaxBendingSlope;    ///< maximum value of the bending slope (used only if B = 0)
  
  Double32_t fNonBendingVertexDispersion; ///< vertex dispersion (cm) in non bending plane (used for original tracking only)
  Double32_t fBendingVertexDispersion;    ///< vertex dispersion (cm) in bending plane (used for original tracking only)
  
  Double32_t fMaxNonBendingDistanceToTrack; ///< maximum distance to the track to search for compatible cluster(s) in non bending direction
  Double32_t fMaxBendingDistanceToTrack;    ///< maximum distance to the track to search for compatible cluster(s) in bending direction
  
  Double32_t fSigmaCutForTracking; ///< cut in sigma to apply on cluster (local chi2) and track (global chi2) during tracking

  Double32_t fSigmaCutForImprovement; ///< cut in sigma to apply on cluster (local chi2) during track improvement
  
  Double32_t fSigmaCutForTrigger; ///< cut in sigma to apply on track during trigger hit pattern search

  Double32_t fStripCutForTrigger; ///< cut in strips to apply on trigger track during trigger chamber efficiency

  Double32_t fMaxStripAreaForTrigger; ///< max. search area in strips to apply on trigger track during trigger chamber efficiency
  
  Double32_t fMaxNormChi2MatchTrigger; ///< maximum normalized chi2 of tracking/trigger track matching
  
  Double32_t fPercentOfFullClusterInESD; ///< percentage of events for which all cluster info are stored in ESD
  
  Bool_t     fCombinedClusterTrackReco; ///< switch on/off the combined cluster/track reconstruction
  
  Bool_t     fTrackAllTracks; ///< kTRUE to track all the possible candidates; kFALSE to track only the best ones
  
  Bool_t     fRecoverTracks; ///< kTRUE to try to recover the tracks getting lost during reconstruction
  
  Bool_t     fMakeTrackCandidatesFast; ///< kTRUE to make candidate tracks assuming linear propagation between stations 4 and 5
  
  Bool_t     fMakeMoreTrackCandidates; ///< kTRUE to make candidate tracks starting from 1 cluster in each of the stations 4 and 5
  
  Bool_t     fComplementTracks; ///< kTRUE to try to complete the reconstructed tracks by adding missing clusters
  
  Bool_t     fImproveTracks; ///< kTRUE to try to improve the reconstructed tracks by removing bad clusters
  
  Bool_t     fUseSmoother; ///< kTRUE to use the smoother to compute track parameters/covariances and local chi2 at each cluster (used for Kalman tracking only)
  
  Bool_t     fSaveFullClusterInESD; ///< kTRUE to save all cluster info (including pads) in ESD
  
  /// calibration mode:  GAIN, NOGAIN, GAINCONSTANTCAPA
  TString fCalibrationMode; ///<\brief calibration mode
  
  Int_t fBypassSt45; ///< non-zero to use trigger tracks to generate "fake" clusters in St 4 and 5. Can be 0, 4, 5 or 45 only
  
  Bool_t     fUseChamber[10]; ///< kTRUE to use the chamber i in the tracking algorithm
  
  Bool_t     fRequestStation[5]; ///< kTRUE to request at least one cluster in station i to validate the track
  
	Double32_t fGainA1Limits[2]; ///< Low and High threshold for gain a0 parameter
  Double32_t fGainA2Limits[2]; ///< Low and High threshold for gain a1 parameter
  Double32_t fGainThresLimits[2]; ///< Low and High threshold for gain threshold parameter
  Double32_t fHVSt12Limits[2]; ///< Low and High threshold for St12 HV
  Double32_t fHVSt345Limits[2]; ///< Low and High threshold for St345 HV
  Double32_t fPedMeanLimits[2]; ///< Low and High threshold for pedestal mean
  Double32_t fPedSigmaLimits[2]; ///< Low and High threshold for pedestal sigma
	
	UInt_t fPadGoodnessMask; ///< goodness mask (see AliMUONPadStatusMaker)
	
  Double_t fChargeSigmaCut; //< number of sigma to cut on adc-ped 
  
  // functions
  void SetLowFluxParam();
  void SetHighFluxParam();
  void SetCosmicParam();
    
  ClassDef(AliMUONRecoParam,8) // MUON reco parameters
};

#endif
Commit	Line	Data
3304fa09	1	#ifndef AliMUONRecoParam_H
	2	#define AliMUONRecoParam_H
	3	/* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
	4	* See cxx source for full Copyright notice */
	5
bf4d93eb	6	// $Id$
bf4d93eb	7
3304fa09	8	/// \ingroup rec
	9	/// \class AliMUONRecoParam
	10	/// \brief Class with MUON reconstruction parameters
	11	///
	12	// Author: Philippe Pillot
	13
15d30ed4	14	#include "AliDetectorRecoParam.h"
3304fa09	15	#include "TString.h"
3304fa09	16
15d30ed4	17	class AliMUONRecoParam : public AliDetectorRecoParam
3304fa09	18	{
	19	public:
	20	AliMUONRecoParam();
	21	virtual ~AliMUONRecoParam();
	22
	23	static AliMUONRecoParam *GetLowFluxParam();
	24	static AliMUONRecoParam *GetHighFluxParam();
0e894e58	25	static AliMUONRecoParam *GetCosmicParam();
3304fa09	26
9bf6860b	27	/// set the calibration mode (see GetCalibrationMode() for possible modes)
7332f213	28	void SetCalibrationMode(Option_t* mode) { fCalibrationMode = mode; fCalibrationMode.ToUpper();}
9bf6860b	29
	30	Option_t* GetCalibrationMode() const;
	31
3304fa09	32	/// set the clustering (pre-clustering) mode
7332f213	33	void SetClusteringMode(Option_t* mode) {fClusteringMode = mode; fClusteringMode.ToUpper();}
3304fa09	34	/// get the clustering (pre-clustering) mode
	35	Option_t* GetClusteringMode() const {return fClusteringMode.Data();}
	36
	37	/// set the tracking mode
7332f213	38	void SetTrackingMode(Option_t* mode) {fTrackingMode = mode; fTrackingMode.ToUpper();}
3304fa09	39	/// get the tracking mode
	40	Option_t* GetTrackingMode() const {return fTrackingMode.Data();}
	41
38bcf0ef	42	/// switch on/off the combined cluster/track reconstruction
	43	void CombineClusterTrackReco(Bool_t flag) {fCombinedClusterTrackReco = flag;}
	44	/// return kTRUE/kFALSE if the combined cluster/track reconstruction is on/off
	45	Bool_t CombineClusterTrackReco() const {return fCombinedClusterTrackReco;}
	46
0a18ba02	47	/// save all cluster info (including pads) in ESD, for the given percentage of events
	48	void SaveFullClusterInESD(Bool_t flag, Double_t percentOfEvent = 100.) {fSaveFullClusterInESD = flag;
	49	fPercentOfFullClusterInESD = (fSaveFullClusterInESD) ? percentOfEvent : 0.;}
	50	/// return kTRUE/kFALSE depending on whether we save all cluster info in ESD or not
	51	Bool_t SaveFullClusterInESD() const {return fSaveFullClusterInESD;}
	52	/// return the percentage of events for which all cluster info are stored in ESD
	53	Double_t GetPercentOfFullClusterInESD() const {return fPercentOfFullClusterInESD;}
	54
0e894e58	55	/// set the most probable value (GeV/c) of momentum in bending plane
	56	/// needed to get some "reasonable" corrections for MCS and E loss even if B = 0
	57	void SetMostProbBendingMomentum(Double_t val) {fMostProbBendingMomentum = val;}
	58	/// return the most probable value (GeV/c) of momentum in bending plane
	59	Double_t GetMostProbBendingMomentum() const {return fMostProbBendingMomentum;}
	60
3304fa09	61	/// set the minimum value (GeV/c) of momentum in bending plane
	62	void SetMinBendingMomentum(Double_t val) {fMinBendingMomentum = val;}
	63	/// return the minimum value (GeV/c) of momentum in bending plane
	64	Double_t GetMinBendingMomentum() const {return fMinBendingMomentum;}
	65	/// set the maximum value (GeV/c) of momentum in bending plane
	66	void SetMaxBendingMomentum(Double_t val) {fMaxBendingMomentum = val;}
	67	/// return the maximum value (GeV/c) of momentum in bending plane
	68	Double_t GetMaxBendingMomentum() const {return fMaxBendingMomentum;}
9bf6860b	69	/// set the maximum value of the non bending slope
	70	void SetMaxNonBendingSlope(Double_t val) {fMaxNonBendingSlope = val;}
	71	/// return the maximum value of the non bending slope
	72	Double_t GetMaxNonBendingSlope() const {return fMaxNonBendingSlope;}
9f093251	73	/// set the maximum value of the bending slope
	74	void SetMaxBendingSlope(Double_t val) {fMaxBendingSlope = val;}
	75	/// return the maximum value of the bending slope
	76	Double_t GetMaxBendingSlope() const {return fMaxBendingSlope;}
3304fa09	77
	78	/// set the vertex dispersion (cm) in non bending plane (used for original tracking only)
	79	void SetNonBendingVertexDispersion(Double_t val) {fNonBendingVertexDispersion = val;}
b1fea02e	80	/// return the vertex dispersion (cm) in non bending plane (used for original tracking only)
3304fa09	81	Double_t GetNonBendingVertexDispersion() const {return fNonBendingVertexDispersion;}
b1fea02e	82	/// set the vertex dispersion (cm) in bending plane (used for original tracking only)
3304fa09	83	void SetBendingVertexDispersion(Double_t val) {fBendingVertexDispersion = val;}
	84	/// return the vertex dispersion (cm) in bending plane (used for original tracking only)
	85	Double_t GetBendingVertexDispersion() const {return fBendingVertexDispersion;}
	86
	87	/// set the maximum distance to the track to search for compatible cluster(s) in non bending direction
	88	void SetMaxNonBendingDistanceToTrack(Double_t val) {fMaxNonBendingDistanceToTrack = val;}
	89	/// return the maximum distance to the track to search for compatible cluster(s) in non bending direction
	90	Double_t GetMaxNonBendingDistanceToTrack() const {return fMaxNonBendingDistanceToTrack;}
	91	/// set the maximum distance to the track to search for compatible cluster(s) in bending direction
	92	void SetMaxBendingDistanceToTrack(Double_t val) {fMaxBendingDistanceToTrack = val;}
	93	/// return the maximum distance to the track to search for compatible cluster(s) in bending direction
	94	Double_t GetMaxBendingDistanceToTrack() const {return fMaxBendingDistanceToTrack;}
	95
	96	/// set the cut in sigma to apply on cluster (local chi2) and track (global chi2) during tracking
	97	void SetSigmaCutForTracking(Double_t val) {fSigmaCutForTracking = val;}
	98	/// return the cut in sigma to apply on cluster (local chi2) and track (global chi2) during tracking
	99	Double_t GetSigmaCutForTracking() const {return fSigmaCutForTracking;}
	100
	101	/// switch on/off the track improvement and keep the default cut in sigma to apply on cluster (local chi2)
	102	void ImproveTracks(Bool_t flag) {fImproveTracks = flag;}
	103	/// switch on/off the track improvement and set the cut in sigma to apply on cluster (local chi2)
	104	void ImproveTracks(Bool_t flag, Double_t sigmaCut) {fImproveTracks = flag; fSigmaCutForImprovement = sigmaCut;}
	105	/// return kTRUE/kFALSE if the track improvement is switch on/off
	106	Bool_t ImproveTracks() const {return fImproveTracks;}
	107	/// return the cut in sigma to apply on cluster (local chi2) during track improvement
	108	Double_t GetSigmaCutForImprovement() const {return fSigmaCutForImprovement;}
fda59e58	109
	110	/// set the cut in sigma to apply on track during trigger hit pattern search
	111	void SetSigmaCutForTrigger(Double_t val) {fSigmaCutForTrigger = val;}
	112	/// return the cut in sigma to apply on track during trigger hit pattern search
	113	Double_t GetSigmaCutForTrigger() const {return fSigmaCutForTrigger;}
b5270f21	114	/// set the cut in strips to apply on trigger track during trigger chamber efficiency
	115	void SetStripCutForTrigger(Double_t val) {fStripCutForTrigger = val;}
	116	/// return the cut in strips to apply on trigger track during trigger chamber efficiency
	117	Double_t GetStripCutForTrigger() const {return fStripCutForTrigger;}
	118	/// set the maximum search area in strips to apply on trigger track during trigger chamber efficiency
	119	void SetMaxStripAreaForTrigger(Double_t val) {fMaxStripAreaForTrigger = val;}
	120	/// return the maximum search area in strips to apply on trigger track during trigger chamber efficiency
	121	Double_t GetMaxStripAreaForTrigger() const {return fMaxStripAreaForTrigger;}
3304fa09	122
	123	/// set the maximum normalized chi2 of tracking/trigger track matching
	124	void SetMaxNormChi2MatchTrigger(Double_t val) {fMaxNormChi2MatchTrigger = val;}
	125	/// return the maximum normalized chi2 of tracking/trigger track matching
	126	Double_t GetMaxNormChi2MatchTrigger() const {return fMaxNormChi2MatchTrigger;}
	127
	128	/// switch on/off the tracking of all the possible candidates (track only the best one if switched off)
	129	void TrackAllTracks(Bool_t flag) {fTrackAllTracks = flag;}
38bcf0ef	130	/// return kTRUE/kFALSE if the tracking of all the possible candidates is switched on/off
3304fa09	131	Bool_t TrackAllTracks() const {return fTrackAllTracks;}
	132
	133	/// switch on/off the recovering of tracks being lost during reconstruction
	134	void RecoverTracks(Bool_t flag) {fRecoverTracks = flag;}
38bcf0ef	135	/// return kTRUE/kFALSE if the recovering of tracks being lost during reconstruction is switched on/off
3304fa09	136	Bool_t RecoverTracks() const {return fRecoverTracks;}
	137
	138	/// switch on/off the fast building of track candidates (assuming linear propagation between stations 4 and 5)
	139	void MakeTrackCandidatesFast(Bool_t flag) {fMakeTrackCandidatesFast = flag;}
38bcf0ef	140	/// return kTRUE/kFALSE if the fast building of track candidates is switched on/off
3304fa09	141	Bool_t MakeTrackCandidatesFast() const {return fMakeTrackCandidatesFast;}
3304fa09	142
9bf6860b	143	/// switch on/off the building of track candidates starting from 1 cluster in each of the stations 4 and 5
	144	void MakeMoreTrackCandidates(Bool_t flag) {fMakeMoreTrackCandidates = flag;}
	145	/// return kTRUE/kFALSE if the building of extra track candidates is switched on/off
	146	Bool_t MakeMoreTrackCandidates() const {return fMakeMoreTrackCandidates;}
	147
3304fa09	148	/// switch on/off the completion of reconstructed track
3304fa09	149	void ComplementTracks(Bool_t flag) {fComplementTracks = flag;}
38bcf0ef	150	/// return kTRUE/kFALSE if completion of the reconstructed track is switched on/off
3304fa09	151	Bool_t ComplementTracks() const {return fComplementTracks;}
	152
	153	/// switch on/off the use of the smoother
	154	void UseSmoother(Bool_t flag) {fUseSmoother = flag;}
38bcf0ef	155	/// return kTRUE/kFALSE if the use of the smoother is switched on/off
3304fa09	156	Bool_t UseSmoother() const {return fUseSmoother;}
3304fa09	157
9bf6860b	158	/// switch on/off a chamber in the reconstruction
	159	void UseChamber(Int_t iCh, Bool_t flag) {if (iCh >= 0 && iCh < 10) fUseChamber[iCh] = flag;}
	160	/// return kTRUE/kFALSE whether the chamber must be used or not
	161	Bool_t UseChamber(Int_t iCh) const {return (iCh >= 0 && iCh < 10) ? fUseChamber[iCh] : kFALSE;}
	162
	163	/// request or not at least one cluster in the station to validate the track
	164	void RequestStation(Int_t iSt, Bool_t flag) {if (iSt >= 0 && iSt < 5) fRequestStation[iSt] = flag;}
	165	/// return kTRUE/kFALSE whether at least one cluster is requested in the station to validate the track
	166	Bool_t RequestStation(Int_t iSt) const {return (iSt >= 0 && iSt < 5) ? fRequestStation[iSt] : kFALSE;}
	167
6cac085d	168	/// set the bypassSt45 value
004a9ccd	169	void BypassSt45(Bool_t st4, Bool_t st5);
004a9ccd	170
9bf6860b	171	/// return kTRUE if we should replace clusters in St 4 and 5 by generated clusters from trigger tracks
004a9ccd	172	Bool_t BypassSt45() const { return fBypassSt45==45; }
9bf6860b	173
004a9ccd	174	/// return kTRUE if we should replace clusters in St 4 by generated clusters from trigger tracks
	175	Bool_t BypassSt4() const { return BypassSt45() \|\| fBypassSt45==4 ; }
	176
	177	/// return kTRUE if we should replace clusters in St 5 by generated clusters from trigger tracks
	178	Bool_t BypassSt5() const { return BypassSt45() \|\| fBypassSt45==5 ; }
	179
	180	/// Set Low and High threshold for St12 HV
	181	void SetHVSt12Limits(float low, float high) { fHVSt12Limits[0]=low; fHVSt12Limits[1]=high; }
	182	/// Retrieve low limit for St12's HV
	183	Float_t HVSt12LowLimit() const { return fHVSt12Limits[0]; }
	184	/// Retrieve high limit for St12's HV
	185	Float_t HVSt12HighLimit() const { return fHVSt12Limits[1]; }
	186
	187	/// Set Low and High threshold for St345 HV
	188	void SetHVSt345Limits(float low, float high) { fHVSt345Limits[0]=low; fHVSt345Limits[1]=high; }
	189	/// Retrieve low limit for St345's HV
	190	Float_t HVSt345LowLimit() const { return fHVSt345Limits[0]; }
	191	/// Retrieve high limit for St345's HV
	192	Float_t HVSt345HighLimit() const { return fHVSt345Limits[1]; }
	193
	194	/// Set Low and High threshold for pedestal mean
	195	void SetPedMeanLimits(float low, float high) { fPedMeanLimits[0]=low; fPedMeanLimits[1]=high; }
	196	/// Retrieve low limit of ped mean
	197	Float_t PedMeanLowLimit() const { return fPedMeanLimits[0]; }
	198	/// Retrieve high limit of ped mean
	199	Float_t PedMeanHighLimit() const { return fPedMeanLimits[1]; }
	200
	201	/// Set Low and High threshold for pedestal sigma
	202	void SetPedSigmaLimits(float low, float high) { fPedSigmaLimits[0]=low; fPedSigmaLimits[1]=high; }
	203	/// Retrieve low limit of ped sigma
	204	Float_t PedSigmaLowLimit() const { return fPedSigmaLimits[0]; }
	205	/// Retrieve high limit of ped sigma
	206	Float_t PedSigmaHighLimit() const { return fPedSigmaLimits[1]; }
	207
	208	/// Set Low and High threshold for gain a0 term
	209	void SetGainA1Limits(float low, float high) { fGainA1Limits[0]=low; fGainA1Limits[1]=high; }
	210	/// Retrieve low limit of a1 (linear term) gain parameter
	211	Float_t GainA1LowLimit() const { return fGainA1Limits[0]; }
	212	/// Retrieve high limit of a1 (linear term) gain parameter
	213	Float_t GainA1HighLimit() const { return fGainA1Limits[1]; }
	214
	215	/// Set Low and High threshold for gain a1 term
	216	void SetGainA2Limits(float low, float high) { fGainA2Limits[0]=low; fGainA2Limits[1]=high; }
	217	/// Retrieve low limit of a2 (quadratic term) gain parameter
	218	Float_t GainA2LowLimit() const { return fGainA2Limits[0]; }
	219	/// Retrieve high limit of a2 (quadratic term) gain parameter
	220	Float_t GainA2HighLimit() const { return fGainA2Limits[1]; }
	221
	222	/// Set Low and High threshold for gain threshold term
	223	void SetGainThresLimits(float low, float high) { fGainThresLimits[0]=low; fGainThresLimits[1]=high; }
	224	/// Retrieve low limit on threshold gain parameter
	225	Float_t GainThresLowLimit() const { return fGainThresLimits[0]; }
	226	/// Retrieve high limit on threshold gain parameter
	227	Float_t GainThresHighLimit() const { return fGainThresLimits[1]; }
	228
	229	/// Set the goodness mask (see AliMUONPadStatusMapMaker)
	230	void SetPadGoodnessMask(UInt_t mask) { fPadGoodnessMask=mask; }
	231	/// Get the goodness mask
	232	UInt_t PadGoodnessMask() const { return fPadGoodnessMask; }
	233
9bf6860b	234	virtual void Print(Option_t *option = "") const;
3304fa09	235
170f4046	236	/// Number of sigma cut we must apply when cutting on adc-ped
	237	Double_t ChargeSigmaCut() const { return fChargeSigmaCut; }
	238
	239	/// Number of sigma cut we must apply when cutting on adc-ped
	240	void ChargeSigmaCut(Double_t value) { fChargeSigmaCut=value; }
	241
004a9ccd	242	private:
	243	void SetDefaultLimits();
	244
3304fa09	245	private:
	246
	247	/// clustering mode: NOCLUSTERING, PRECLUSTER, PRECLUSTERV2, PRECLUSTERV3, COG, <pre>
	248	/// SIMPLEFIT, SIMPLEFITV3, MLEM:DRAW, MLEM, MLEMV2, MLEMV3 </pre>
	249	TString fClusteringMode; ///< \brief name of the clustering (+ pre-clustering) mode
	250
	251	/// tracking mode: ORIGINAL, KALMAN
	252	TString fTrackingMode; ///< \brief name of the tracking mode
	253
0e894e58	254	Double32_t fMostProbBendingMomentum; ///< most probable value (GeV/c) of muon momentum in bending plane (used when B = 0)
0e894e58	255
3304fa09	256	Double32_t fMinBendingMomentum; ///< minimum value (GeV/c) of momentum in bending plane
3304fa09	257	Double32_t fMaxBendingMomentum; ///< maximum value (GeV/c) of momentum in bending plane
9bf6860b	258	Double32_t fMaxNonBendingSlope; ///< maximum value of the non bending slope
9f093251	259	Double32_t fMaxBendingSlope; ///< maximum value of the bending slope (used only if B = 0)
3304fa09	260
	261	Double32_t fNonBendingVertexDispersion; ///< vertex dispersion (cm) in non bending plane (used for original tracking only)
	262	Double32_t fBendingVertexDispersion; ///< vertex dispersion (cm) in bending plane (used for original tracking only)
	263
	264	Double32_t fMaxNonBendingDistanceToTrack; ///< maximum distance to the track to search for compatible cluster(s) in non bending direction
	265	Double32_t fMaxBendingDistanceToTrack; ///< maximum distance to the track to search for compatible cluster(s) in bending direction
	266
	267	Double32_t fSigmaCutForTracking; ///< cut in sigma to apply on cluster (local chi2) and track (global chi2) during tracking
fda59e58	268
3304fa09	269	Double32_t fSigmaCutForImprovement; ///< cut in sigma to apply on cluster (local chi2) during track improvement
3304fa09	270
fda59e58	271	Double32_t fSigmaCutForTrigger; ///< cut in sigma to apply on track during trigger hit pattern search
b5270f21	272
	273	Double32_t fStripCutForTrigger; ///< cut in strips to apply on trigger track during trigger chamber efficiency
	274
	275	Double32_t fMaxStripAreaForTrigger; ///< max. search area in strips to apply on trigger track during trigger chamber efficiency
fda59e58	276
3304fa09	277	Double32_t fMaxNormChi2MatchTrigger; ///< maximum normalized chi2 of tracking/trigger track matching
3304fa09	278
0a18ba02	279	Double32_t fPercentOfFullClusterInESD; ///< percentage of events for which all cluster info are stored in ESD
0a18ba02	280
38bcf0ef	281	Bool_t fCombinedClusterTrackReco; ///< switch on/off the combined cluster/track reconstruction
38bcf0ef	282
3304fa09	283	Bool_t fTrackAllTracks; ///< kTRUE to track all the possible candidates; kFALSE to track only the best ones
	284
	285	Bool_t fRecoverTracks; ///< kTRUE to try to recover the tracks getting lost during reconstruction
	286
	287	Bool_t fMakeTrackCandidatesFast; ///< kTRUE to make candidate tracks assuming linear propagation between stations 4 and 5
	288
9bf6860b	289	Bool_t fMakeMoreTrackCandidates; ///< kTRUE to make candidate tracks starting from 1 cluster in each of the stations 4 and 5
9bf6860b	290
3304fa09	291	Bool_t fComplementTracks; ///< kTRUE to try to complete the reconstructed tracks by adding missing clusters
	292
	293	Bool_t fImproveTracks; ///< kTRUE to try to improve the reconstructed tracks by removing bad clusters
	294
	295	Bool_t fUseSmoother; ///< kTRUE to use the smoother to compute track parameters/covariances and local chi2 at each cluster (used for Kalman tracking only)
	296
0a18ba02	297	Bool_t fSaveFullClusterInESD; ///< kTRUE to save all cluster info (including pads) in ESD
3304fa09	298
9bf6860b	299	/// calibration mode: GAIN, NOGAIN, GAINCONSTANTCAPA
de98fdc9	300	TString fCalibrationMode; ///<\brief calibration mode
de98fdc9	301
004a9ccd	302	Int_t fBypassSt45; ///< non-zero to use trigger tracks to generate "fake" clusters in St 4 and 5. Can be 0, 4, 5 or 45 only
9bf6860b	303
	304	Bool_t fUseChamber[10]; ///< kTRUE to use the chamber i in the tracking algorithm
	305
	306	Bool_t fRequestStation[5]; ///< kTRUE to request at least one cluster in station i to validate the track
	307
113ad708	308	Double32_t fGainA1Limits[2]; ///< Low and High threshold for gain a0 parameter
	309	Double32_t fGainA2Limits[2]; ///< Low and High threshold for gain a1 parameter
	310	Double32_t fGainThresLimits[2]; ///< Low and High threshold for gain threshold parameter
	311	Double32_t fHVSt12Limits[2]; ///< Low and High threshold for St12 HV
	312	Double32_t fHVSt345Limits[2]; ///< Low and High threshold for St345 HV
	313	Double32_t fPedMeanLimits[2]; ///< Low and High threshold for pedestal mean
	314	Double32_t fPedSigmaLimits[2]; ///< Low and High threshold for pedestal sigma
004a9ccd	315
113ad708	316	UInt_t fPadGoodnessMask; ///< goodness mask (see AliMUONPadStatusMaker)
004a9ccd	317
170f4046	318	Double_t fChargeSigmaCut; //< number of sigma to cut on adc-ped
170f4046	319
3304fa09	320	// functions
	321	void SetLowFluxParam();
	322	void SetHighFluxParam();
0e894e58	323	void SetCosmicParam();
004a9ccd	324
170f4046	325	ClassDef(AliMUONRecoParam,8) // MUON reco parameters
3304fa09	326	};
	327
	328	#endif
	329